Yes. SleekView treats job_manager_bookmarks as a first-class data source, the same way it handles wp_posts or wp_users. Every chart query runs against the live table, so the numbers match exactly what the Bookmarks plugin sees when it lists bookmarks per user.

Yes. The type column on job_manager_bookmarks stores either job_listing or resume depending on what was saved. Filter or group-by type to chart only jobs, only resumes, or compare the two side by side as a donut.

Bookmarks for a deleted post_id are orphans in the table. SleekView handles this by either filtering to rows whose post_id still exists in wp_posts, or by displaying them under '(deleted job)' if you want full historical accuracy. Configurable per chart.

Yes. SleekView charts can be embedded via shortcode or Gutenberg block, including on public pages. Most operators only expose this to employers in their dashboard, but a public top-saved list is a useful credibility signal too.

The bookmarks table is small and indexed by post_id and user_id by default. SleekView's caching layer aggregates by chart, so even tables with hundreds of thousands of rows render in well under a second on cached views.

Yes. Join job_manager_bookmarks.post_id to wp_posts and group by post_author, which is the employer user for job_listing posts. Filter to a single employer to give each their own dashboard.

Yes, all three add-ons store data independently. SleekView charts the bookmarks table on its own and you can build separate charts that combine applications, alerts and bookmarks for the same job_listing to see full candidate intent.

bookmark_note is free-form text, so it does not aggregate well numerically. SleekView surfaces it on per-bookmark drill-downs but the four headline charts (count, top jobs, type mix, trend) deliberately ignore the note column.